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Springer International Publishing
Reference23 articles.
1. Bender, E.M., Gebru, T., McMillan-Major, A., Shmitchell, S.: On the dangers of stochastic parrots: can language models be too big? In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, pp. 610–623. Association for Computing Machinery, New York, NY, USA (2021). https://doi.org/10.1145/3442188.3445922
2. Cação, F.N., José, M.M., Oliveira, A.S., Spindola, S., Costa, A.H.R., Cozman, F.G.: Deepagé: answering questions in Portuguese about the Brazilian environment. In: Britto, A., Valdivia, D.K. (eds.) Intelligent Systems. BRACIS 2021. Lecture Notes in Computer Science, vol. 13074. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-91699-2_29
3. Carmo, D., Piau, M., Campiotti, I., Nogueira, R., de Alencar Lotufo, R.: PTT5: pretraining and validating the T5 model on brazilian portuguese data. CoRR abs/2008.09144 (2020). https://arxiv.org/abs/2008.09144
4. Chen, D., Fisch, A., Weston, J., Bordes, A.: Reading Wikipedia to answer open-domain questions. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1870–1879. Association for Computational Linguistics, Vancouver, Canada (2017). https://doi.org/10.18653/v1/P17-1171
5. Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2–7, 2019, Volume 1 (Long and Short Papers), pp. 4171–4186. Association for Computational Linguistics (2019). https://doi.org/10.18653/v1/n19-1423
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